Convergence, Mining, and Application: A Data Collaboration Framework for Spatial-Gene Research and Practice

In the digital era, data collaboration constitutes a critical trend in urban planning and design. It is of paramount importance in addressing contemporary issues related to the misinterpretation, misapplication, and misunderstanding of spatial genes, as well as facilitating data sharing and value creation associated with spatial genes. In this paper, targeting the complex problems of multiple entities and threads in spatial gene research and practice through, initially, a literature review, the correlation process between urban planning and data collaboration is examined, the spatial gene concept and the background of its proposal are expounded, and the challenges confronted in spatial-gene data collaboration are analyzed. Then, with an elaboration of the data value chain concept, a data collaboration framework for spatial-gene research and practice is constructed, specifically encompassing three main links: convergence, mining, and application. Finally, from the three aspects of data collection and storage, data analysis and processing, and data circulation and sharing, technical implementation paths and suggestions are put forward. We firmly contend that through the establishment of the framework, it is anticipated to promote data collaboration among multiple entities, enhance the efficiency and scientificity of urban design, and thereby facilitate the preservation of cultural diversity and the sustainable development of cities.